Triple

T2460434
Position Surface form Disambiguated ID Type / Status
Subject Union territories of India E54520 entity
Predicate hasPart P35 FINISHED
Object Ladakh E76754 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ladakh | Statement: [Union territories of India, hasPart, Ladakh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ladakh
Context triple: [Union territories of India, hasPart, Ladakh]
  • A. Ladakh chosen
    Ladakh is a high-altitude, sparsely populated region in northern India known for its rugged mountains, Buddhist culture, and strategic location bordering Tibet and the Karakoram range.
  • B. Jammu and Kashmir
    Jammu and Kashmir is a northern region of the Indian subcontinent known for its mountainous terrain, strategic location, and long-standing political and territorial disputes.
  • C. Sikkim
    Sikkim is a small, mountainous Indian state in the eastern Himalayas known for its dramatic landscapes, Buddhist monasteries, and proximity to Mount Kanchenjunga.
  • D. Himachal Pradesh
    Himachal Pradesh is a mountainous state in northern India known for its Himalayan landscapes, hill stations, and tourism.
  • E. Gilgit-Baltistan
    Gilgit-Baltistan is a mountainous, strategically important region in northern Pakistan, known for its high peaks, including K2, and its location at the crossroads of South and Central Asia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd10ba66481909580e994b22fd406 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cdd404c8190b86f240789e68925 completed March 9, 2026, 11:50 p.m.
Created at: March 6, 2026, 9:44 p.m.